Joshua Carter

1.1k total citations
12 papers, 772 citations indexed

About

Joshua Carter is a scholar working on Molecular Biology, Infectious Diseases and Epidemiology. According to data from OpenAlex, Joshua Carter has authored 12 papers receiving a total of 772 indexed citations (citations by other indexed papers that have themselves been cited), including 9 papers in Molecular Biology, 4 papers in Infectious Diseases and 4 papers in Epidemiology. Recurrent topics in Joshua Carter's work include CRISPR and Genetic Engineering (7 papers), RNA and protein synthesis mechanisms (4 papers) and Influenza Virus Research Studies (2 papers). Joshua Carter is often cited by papers focused on CRISPR and Genetic Engineering (7 papers), RNA and protein synthesis mechanisms (4 papers) and Influenza Virus Research Studies (2 papers). Joshua Carter collaborates with scholars based in United States, United Kingdom and South Africa. Joshua Carter's co-authors include Blake Wiedenheft, Ryan N. Jackson, Sarah Golden, Gabriel C. Lander, Joseph Bondy‐Denomy, MaryClare F. Rollins, Saikat Chowdhury, John van der Oost, Edze R. Westra and Randy J. Read and has published in prestigious journals such as Science, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Joshua Carter

12 papers receiving 766 citations

Peers

Joshua Carter
Giuseppe Cannone United Kingdom
Roberta Fuller United States
Katarzyna M. Soczek United States
Jordan Jarjour United States
Gee Jun Tye Malaysia
Edwin A. Saada United States
Marina Della United Kingdom
Giuseppe Cannone United Kingdom
Joshua Carter
Citations per year, relative to Joshua Carter Joshua Carter (= 1×) peers Giuseppe Cannone

Countries citing papers authored by Joshua Carter

Since Specialization
Citations

This map shows the geographic impact of Joshua Carter's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joshua Carter with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joshua Carter more than expected).

Fields of papers citing papers by Joshua Carter

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joshua Carter. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joshua Carter. The network helps show where Joshua Carter may publish in the future.

Co-authorship network of co-authors of Joshua Carter

This figure shows the co-authorship network connecting the top 25 collaborators of Joshua Carter. A scholar is included among the top collaborators of Joshua Carter based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joshua Carter. Joshua Carter is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
1.
Saouaf, Olivia M., Ben S. Ou, Joshua Carter, et al.. (2025). Sustained Vaccine Exposure Elicits More Rapid, Consistent, and Broad Humoral Immune Responses to Multivalent Influenza Vaccines. Advanced Science. 12(18). e2404498–e2404498. 3 indexed citations
2.
Carter, Joshua, A Sarah Walker, Michael G. Whitfield, et al.. (2024). Prediction of pyrazinamide resistance in Mycobacterium tuberculosis using structure-based machine-learning approaches. JAC-Antimicrobial Resistance. 6(2). dlae037–dlae037. 5 indexed citations
3.
Xu, Duo, Joshua Carter, Chunfeng Li, et al.. (2024). Vaccine design via antigen reorientation. Nature Chemical Biology. 20(8). 1012–1021. 16 indexed citations
4.
Carter, Joshua, A Sarah Walker, Michael G. Whitfield, et al.. (2019). Prediction of Pyrazinamide Resistance in <i>Mycobacterium Tuberculosis</i> Using Structure-Based Machine Learning Approaches. SSRN Electronic Journal. 4 indexed citations
5.
Chowdhury, Saikat, Joshua Carter, MaryClare F. Rollins, et al.. (2017). Structure Reveals Mechanisms of Viral Suppressors that Intercept a CRISPR RNA-Guided Surveillance Complex. Cell. 169(1). 47–57.e11. 169 indexed citations
6.
Rollins, MaryClare F., Saikat Chowdhury, Joshua Carter, et al.. (2017). Cas1 and the Csy complex are opposing regulators of Cas2/3 nuclease activity. Proceedings of the National Academy of Sciences. 114(26). E5113–E5121. 66 indexed citations
7.
Patterson, Angela, Ravi Kant, Sarah Golden, et al.. (2017). Conformational Dynamics of DNA Binding and Cas3 Recruitment by the CRISPR RNA-Guided Cascade Complex. ACS Chemical Biology. 13(2). 481–490. 22 indexed citations
8.
Carter, Joshua & Blake Wiedenheft. (2015). SnapShot: CRISPR-RNA-Guided Adaptive Immune Systems. Cell. 163(1). 260–260.e1. 26 indexed citations
9.
Jackson, Ryan N., et al.. (2015). Mechanism of CRISPR-RNA guided recognition of DNA targets inEscherichia coli. Nucleic Acids Research. 43(17). 8381–8391. 43 indexed citations
10.
Jackson, Ryan N., Sarah Golden, Joshua Carter, et al.. (2014). Crystal structure of the CRISPR RNA–guided surveillance complex from Escherichia coli. Science. 345(6203). 1473–1479. 201 indexed citations
11.
Jackson, Ryan N., Matt Lavin, Joshua Carter, & Blake Wiedenheft. (2014). Fitting CRISPR-associated Cas3 into the Helicase Family Tree. Current Opinion in Structural Biology. 24. 106–114. 50 indexed citations
12.
Reeder, Kristen M., Joshua Carter, Alexander R. Kovach, et al.. (2013). Structures of human folate receptors reveal biological trafficking states and diversity in folate and antifolate recognition. Proceedings of the National Academy of Sciences. 110(38). 15180–15188. 167 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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